2013
DOI: 10.1007/978-3-642-37222-3_48
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Analysis of Time Variations of the Gravity Field Over Europe Obtained from GRACE Data in Terms of Geoid Height and Mass Variation

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Cited by 12 publications
(11 citation statements)
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“…They exhibit a distinctive seasonal geoid height variation pattern with maximum values at the beginning of spring and minimum values at the end of the summer. This seasonal pattern is consistent with the hydrological cycle in the investigated area (e.g., Krynski et al 2014). The results presented in Figs.…”
Section: Computation Of Temporal Geoid Height Variationssupporting
confidence: 89%
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“…They exhibit a distinctive seasonal geoid height variation pattern with maximum values at the beginning of spring and minimum values at the end of the summer. This seasonal pattern is consistent with the hydrological cycle in the investigated area (e.g., Krynski et al 2014). The results presented in Figs.…”
Section: Computation Of Temporal Geoid Height Variationssupporting
confidence: 89%
“…The first one which will overlap with GRACE mission is GRACE Follow-on (GRACE-FO) mission that has been scheduled for launch in August 2017 (e.g., Flechtner et al 2016). During the past years, many investigations (e.g., Tapley et al 2004;Chambers 2006;Swenson and Wahr 2007;Luthcke et al 2013;Krynski et al 2014;Wu and Heflin 2015;Guo et al 2016) concerning the determination of temporal mass variations in the Earth system using GRACE data have been conducted worldwide. For temporal geoid height variations, Rangelova (2007) combined GRACE data with GNSS, tide gauge/altimetry, and absolute gravimetry data to develop a dynamic geoid model for Canada.…”
Section: Introductionmentioning
confidence: 99%
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“…With such a fit, temporal variations of geoid heights seem important to be investigated and taken into the consideration. Krynski et al (2014) conducted research for analysing temporal variations of the Earth's gravity field over the whole area of Europe, including the area of Poland and surrounding areas. The authors analysed release RL04 GRACE-based Global Geopotential Models (GGMs) using Fourier's analysis (e.g.…”
Section: Introductionmentioning
confidence: 99%